Mobile Value-added Service (VAS) applications represent a key aspect to the ongoing success of mobile network operators and everyone in the mobile communications value chain. With core services, such as bear voice and data communications becoming commodity offerings, wireless service providers are dependent on VAS applications to drive additional revenue and improved margins.

This research represents analysis of the mobile VAS markets, and applications. In addition, the report evaluates market opportunities for mobile VAS, markets, mobile commerce applications. It includes market opportunities and forecasting to 2016 for mobile VAS applications including worldwide mobile games markets and the potential revenues. Our research also identifies key issues and concerns such as security and privacy in mobile VAS and mobile commerce in particular. We evaluate global market dynamics through analysis of specific regions and countries.

Target Audience:

Mobile device manufacturers

Application stores/aggregators

Mobile network operators and their partners

Mobile VAS application development companies

Mobile infrastructure and support service providers

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.